What are the responsibilities and job description for the Machine Learning Engineer position at Evolve Group?
Machine Learning Engineer / Research Engineer – Systematic Trading
Are you eager to apply advanced machine learning and AI techniques to transform the finance industry?
If you excel in an environment that prioritizes technical innovation, impactful AI solutions, and rapid execution, this role is for you. Be part of a top-tier team utilizing LLMs, retrieval-augmented generation (RAG), reinforcement learning, and generative AI to create scalable, real-time trading models that drive high-frequency and mid-frequency strategies across global markets.
What You’ll Do:
- Develop AI-driven trading models that process massive financial datasets with real-time decision-making capabilities.
- Research and apply state-of-the-art techniques in transformers, diffusion models, NLP, computer vision, and deep reinforcement learning to optimize trading strategies.
- Design, build, and optimize large-scale AI systems for predictive modelling, automated decision-making, and strategy execution.
- Collaborate with top-tier AI researchers and engineers in a fast-paced, high-stakes environment where your work directly impacts trading performance.
What We’re Looking For:
- A strong academic background in a quantitative field such as Computer Science, AI, Mathematics, or a related STEM discipline.
- Experience applying LLMs, RAG, deep reinforcement learning, and generative AI to real-world challenges.
- A track record of excelling in competitive, high-performance environments.
- Prior experience in finance is not required but is a strong advantage.
This is an opportunity to work at the intersection of AI and systematic trading, where innovation meets execution. If you’re excited to push the boundaries of AI in one of the most sophisticated and profitable trading operations in the world, we’d love to hear from you.
